Modelling ingrowth in mediterranean pine forests: A case study from scots pine (Pinus sylvestris L.) and mediterranean maritime pine (Pinus pinaster Ait.) stands in Spain;Modelo de masa incorporada en pinares mediterráneos: Un caso de estudio en rodales de pino silvestre (Pinus sylvestris L.) y pino negral (Pinus pinister Ait.) en España

Investigacion Agraria Sistemas y Recursos Forestales

Volumn 17, Issue 3, 2008, Pages 250-260

  Bravo, F ^a   Pando, V ^b   Ordonez C ^a   Lizarralde, I ^a,c  

^a UNIVERSIDAD DE VALLADOLID   (Spain)

^b UNIVERSITY OF VALLADOLID   (Spain)

^c CESEFOR FOUNDATION   (Spain)

Author keywords

Concentric plot; National forest Inventory; Recruitment; Upgrowth

Indexed keywords

PINUS PINASTER; PINUS SYLVESTRIS;

EID: 64849113228     PISSN: 11317965     EISSN: None     Source Type: Journal    
DOI: 10.5424/srf/2008173-01039     Document Type: Article

References (72)

1. ÁLVAREZ GONZÁLEZ, J.G., CASTEDO DORADO, F., RUIZ GONZÁLEZ, A.D., LÓPEZ SÁNCHEZ, C.A., VON GADOW, K., 2004. A two-step mortality model for even-aged stands of Pinus radiata D. Don in Galicia (Northwestern Spain). Annals. of Forest Science 61, 441-450.
2. BATISTA, J.L.F., MAGUIRE, D.A., 1998. Modeling the spatial structure of tropical forests. Forest Ecology and. Management 110, 293-314.
3. BIGING, G.S., DOBBERTIN, M., 1992. A comparison of distance-dependent competition measures for height and basal area growth of individual conifer trees. Forest Science 38, 695-720.
4. BIGING, G.S., DOBBERTIN, M., 1995. Evaluation of competition indices in individual tree growth models. Forest Science 41, 360-377.
5. BRAVO, F., DEL RÍO, M., PANDO, V., SAN MARTÍN, R., MONTERO, G., ORDÓÑEZ, C., CAÑELLAS, I., 2002. El diseño de las parcelas del Inventario Forestal Nacional y la estimación de variables dasométricas. In: BRAVO, F., DEL RÍO, M., DEL PESO, C. (Eds.), El Inventario Forestal Nacional. Elemento clave para la Gestión Forestal Sostenible Palencia, pp. 19-35.
6. BRAVO, F., HANN, D.W., MAGUIRE, D.A., 2001. Impact of competitor species composition on predicting diameter growth and survival rates of Douglas-fir trees in southwestern Oregon. Canandian Journal of Forest Resesarch 31, 2237-2247.
7. BRAVO, F., LEMAY, V., GADOW, K. VON, JANDL, R. (Eds) 2008. Managing Forest Ecosystems: The Challenge of Climate Change. Springer 342 pages
8. BRAVO, F., LIZARRALDE, I., BRAVO-OVIEDO, A., 2005. Estructura general de un modelo de simulación y proyección aplicable al Inventario Forestal Nacional. In, SEFC: IV Congreso Forestal Nacional, Zaragoza.
9. BRAVO, F., LIZARRALDE, I., RODRIGUEZ-GARCIA, E., BRAVO-OVIEDO, A, ORDOÑEZ, C., HERRERO, C., PANDO, V., DEL PESO, C., JUEZ, L., GUERRA, B., 2007. Modeling forest dynamics with and empirical approach to support stand management: the case study of Mediterranean Pinus pinaster in Central Spain In. PALAHI, M., BIROT Y., ROIS, M. (Eds) Scientific tools and research needs for multifunctional Mediterranean forest ecosystem management 45-55 European Forest Institute
10. BRAVO, F., MONTERO, G., 2001. Site index estimation in Scots pine (Pinus sylvestris L.) stands in the High Ebro Basin (northern Spain) using soil attributes. Forestry 74(4), 395-406.
11. BRAVO, F., MONTERO, G., 2003. High-grading effects on Scots pine volume and basal area in pure stands in northern Spain. Annals of Forest Science 60:11-18.
12. BRAVO-OVIEDO, A., DEL RÍO, M., MONTERO, G., 2004. Site index curves and growth model for Mediterranean maritime pine (Pinus pinaster Ait.) in Spain. Forest Ecology and Management 201:187-197.
13. BRAVO-OVIEDO, A., STERBA, H., DEL RIO, M., BRAVO, F., 2005. Competition induced mortality for Mediterranean P. pinaster Ait. and P. sylvestris L. Forest Ecology and Management 222:88-98
14. BUCHMAN, R.G., PEDERSON, S.P., WALTERS, N.R., 1983. A tree survival model with application to species of the Great Lakes region. Canadian Journal of Forest Research 13:601-608.
15. BUONGIORNO, J., GILLES, K.J., 2003. Decision methods for forest resource management. San Diego, California: Kluwer Academic Publishers, 439 pp
16. CAO, Q.V., 2000. Prediction of annual diameter growth and survival for individual trees from periodic measurements. Forest Science 46:127-131.
17. CLUTTER, J.L., JONES, E.P., 1980. Prediction of growth after thinning in old field slash pine plantations. USDA Forest Service. Research Paper SE-217.
18. CURTIS, R.O., CLENDENEN, G.W., DEMARS, D.J., 1981. A new stand simulator for Coast Douglas-fir: DFSIM user's guide. U.S. Forest Service, Portland. Gen. Tech. Rep PNW128.
19. CURTIS, R.O., CLENDENEN, G.W., REUKEMA, D.L., DEMARS, D.J., 1982. Yield tables for managed stands of Coast Douglas-fir. U.S. Forest Service, Portland. Gen. Tech. Rep PNW-GTR-135.
20. EK, A.R., 1974. Nonlinear models for stand table projection in northern hardwood stands. Canadian Journal of Forest Research. 4, 23-27.
21. FOX, J.C., ADES, P.K., BI, H., 2001. Stochastic structure and individual-tree growth models. Forest Ecology and Management 154, 261-276.
22. FRIDMAN, J., STAHL, G., 2001. A three-step approach for modelling tree mortality in Swedish forests. Scandinavian Journal of Forest Research 16, 455-466.
23. GERTNER, G., KOHL, M., 1992. An assessment of some non sampling errors in an National Survey using an error budget. Forest Science 38(3), 525-538.
24. HAMILTON, D.A., 1986. A logistic model of mortality in thinned and unthinned mixed conifer stands of northern Idaho. Forest Science 32, 989-1000.
25. HAMILTON, D.A., 1991. Implications of random variation in the Stand Prognosis Model. In, Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. Research Note.
26. HAMILTON, D.A., EDWARDS, B.M., 1976. Modeling the probability of individual tree mortality. USDA Forest Service. Research Paper INT-185.
27. HANN, D.W., 1980. Development and evaluation of an evenand uneven-aged Ponderosa pine/Arizona fescue stand simulator. USDA Forest Service. Research Paper INT-267.
28. HANN, D.W., HESTER, A.S., OLSEN, C.L., 1997. ORGANON (edition 6.0) [user's manual]. Dept. of Forest Resources Oregon State University, Corvallis.
29. HANN, D.W., HANUS, M.L., 2001. Enhanced mortality equations for trees in the mixed conifer zone of southwest Oregon. (Res. Contrib. 34). Forest Research Laboratory, Oregon State University, Corvallis. 34 pp
30. HANN, D.W., LARSEN, D.R., 1991. Diameter growth equations for fourteen tree species in southwest Oregon. In. Forest Research Laboratory, Oregon State University, Corvallis.
31. HANN, D.W., RITCHIE, M.W., 1988. Height growth rate of Douglas-fir: a comparison of model forms. Forest Science. 34, 165-175.
32. HANN, D.W., WANG, C.H., 1990. Mortality equations for individual trees in the mixed-conifer zone of southwest Oregon. Forest Research Laboratory, Oregon State University, Corvallis. Bull 76. 17 pp
33. HOSMER, D.W., LEMESHOW, S., 1989. Applied Logistic Regression. New York: Wiley Interscience.
34. HUANG, S., YANG, Y., WANG, Y., 2003. A critical look at procedures for validating growth and yield models. In: AMARO, A., REED, D., SOARES, P. (Eds.), Modelling Forest Systems. Wallingford: CABI Publishing, pp. 271-293.
35. HUEBSCHMANN, M.M., GERING, L.W., LYNCH, T.B., BITOKI, O., MURPHY, P.A., 2000. An individual-tree growth and yield prediction system for uneven-aged shortleaf pine stands. Southern Journal of Applied Forestry 24(2), 112-120.
36. HYINK, D.M., MOSER, J.W., 1983. A generalized framework for projecting forest yield and stand structure using diameter distributions. Forest Science 29, 85-95.
37. IFN, 1985. But et Methodes de l'Inventaire Forestier National. Ministere de l'Agriculture, Service de Forets, Paris.
38. LEDERMANN, T., 2002. Ein Einwuchsmodell aus den Daten der Österreichischen Waldinventur 1981-1996. Central-blatt für das gesamte Forstwesen 119, 40-77.
39. LIZARRALDE, I., 2008. Dinámica de rodales y compentencia en las masas de pino silvestre (Pinus sylvestris L.) y pino negral (Pinus pinaster Ait.) de los Sistemas Central e Ibérico Meridional PhD Thesis, University of Valladolid 229 pp
40. MESSIER, C., FORTIN, M.J., SCHMIEGELOW, F., DOYON, F., CUMMING, S.G., KIMMINS, J.P., AL., E., 2003. Modelling tools to assess the sustainability of forest management scenarios. NRC Research Press, Ottawa, Ontario.
41. METLA, 2000. Multi-Source National Forest Inventory of Finland, Materials, From http://www.metla.fi/ohjelma/vmi/nfi-mate.htm.
42. MIINA, J., 1993. Residual variation in diameter growth in a stand of Scots pine and Norway spruce. Forest Ecology and Management 58, 111-128.
43. MONSERUD, R.A., 1976. Simulation of forest tree mortality. Forest Science 22, 438-444.
44. MONSERUD, R.A., LEDERMANN, T., STERBA, H., 2005. Are self-thinning constraints needed in a tree-specific mortality model?. Forest Science 50(6), 848-858.
45. MONSERUD, R.A., STERBA, H., 1999. Modeling individual tree mortality for Austrian forest species. Forest Ecology and Management 113, 109-123.
46. MONTERO, G., CAÑELLAS, I., RUIZ PEINADO, R., 2001. Growth and yield models for Pinus halepensis Mill. Investigación Agraria: Sistemas y Recursos Forestales 10(1), 179-201.
47. MOSER, J.W., 1972. Dynamics of an uneven-aged forest stand. Forest Science 18, 184-191.
48. MOSER, J.W., 1974. A system of equation for the components of forest growth. Dep. For. Yield Res., Royal Coll., For., Stockholm.
49. MUHAIRWE, C.K., 2003. Biometric models. Nandewar Bio-Region NSW Western Regional Assesmentes. In, Project number: NAND 08 (vol 5) Resource and Conservation Assesment Council, p. 46.
50. PIENAAR, L.V., HARRISON, W.M., 1988. A stand table projection approach to yield prediction in unthinned evenaged stands. Forest Science 34, 804-808.
51. PRETZSCH, H., BIBER, P., DURSKY, J., 2002. The single tree-based stand simulator SILVA: construction, application and evaluation. Forest Ecology and Management. 162, 3-21.
52. RITCHIE, M.W., HANN, D.W., 1997. Implications of disaggregation in forest growth and yield modeling. Forest Science 43(2), 223-233.
53. ROJO, A., MONTERO, G., 1996. El pino silvestre en la Sierra de Guadarrama. Ministerio de Agricultura, Pesca y Alimentación. Madrid. 293 pp
54. SÁNCHEZ OROIS, S., RODRÍGUEZ SOALLEIRO, R., 2002. Modelling the growth and management of mixed uneven-aged Maritime Pine-Broadleaved species forests in Galicia, North-western Spain. Scandiavian Journal of Forest Research 17, 538-547.
55. SHIFLEY, S.R., EK, A.R., BURK, T.E., 1993. A generalized methodology for estimating forest ingrowth at multiple threshold diameters. Forest Science 39(4), 776-798.
56. SHIVER, B.D., BORDERS, B.E., 1996. Sampling techniques for forest resource inventory. New York: John Wiley. & Sons. 356 p
57. SOARES, P., TOMÉ, M., 2003. GLOBTREE, an individual tree growth model for Eucalyptus globulus In: AMARO, A., REED, D.E., SOARES, P. (Eds.), Modelling forest systems. CAB International, Wallingford, UK., pp. 97-110.
58. STAGE, A.R., WYKOFF, W.R., 1993. Calibrating a model of stochastic effects o diameter increment for individual-tree simulations of stand dynamics. Forest Science 39, 692-705.
59. STIFF, C.T., 1979. Modeling the growth dynamics of natural mixed-species Appalachian hardwood stands. In. Polytechnic Institute and State University, Virginia.
60. TRASOBARES, A., PUKKALA, T., MIINA, J., 2004a. Growth and yield model for uneven-aged mixtures of Pinus sylvestris L. and Pinus nigra Arn. In Catalonia, north-east Spain. Annals of Forest Science 61, 9-24.
61. TRASOBARES, A., TOMÉ, M., MIINA, J., 2004b. Growth and yield model for Pinus halepensis Mill. in Catalonia, northeast Spain. Forest Ecology and Management 203, 49-62.
62. USDA, 2004. Forest inventory and analysis. National core field guide, volume 1: Field data collection procedures for phase 2 plots, version 2.0. In, USDA Forest Service, Internal report. On file at USDA Forest Service, Washington Office, Forest Inventory and Analysis. USDA Forest Service, Washington, D.C.
63. VALBUENA, P., DEL PESO, C., BRAVO, F., 2008. Stand density management diagrams for two Mediterranean species in Eastern Spain Investigación Agrarias: Sistemas y Recursos Forestales 17(2), 97-104
64. VALENTINE, H.T., FURNIVAL, G.M., 1989. Projections with ingrowth by Markov chains. Forest Science 35(1), 245-250.
65. VANCLAY, J.K., 1989. A growth model for north Quensland rainforests. Forest Ecology and Management 27, 245-271.
66. VANCLAY, J.K., 1991. Compatible deterministic and stochastic predictions by probabilistic modeling of individual trees. Forest Science 37(6), 1656-1663.
67. VANCLAY, J.K., 1994. Modelling forest growth and yield. Applications to Mixed Tropical Forests, CAB International, Wallingford, 312 pp
68. WENSEL, L.C., MEERSCHAERT, W.J., BIGING, G.S., 1987. Tree height and diameter growth models for northern California conifers. Hilgardia 55, 1-20.
69. WILLIAMS, M.S., 1998. Distinguishing between change and growth in forest surveys. Canadian Journal of Forest Research 28, 1099-1106.
70. WYKOFF, W.R., 1990. A basal area increment model for individual conifers in the northern Rocky Mountains. Forest Science 36, 1077-1104.
71. WYKOFF, W.R., CROOKSTON, N.L., STAGE, A.R., 1982. Users's guide to the Stand Prognosis Model Ogden, UT. In. U. S. Department of Agriculture, Forest Service. General Technical Report.
72. ZHANG, S., AMATEIS, R.L., BURKHART, H.E., 1997. Constraining individual tree diameter increment and survival models for loblolly pine plantations. Forest Science 43, 414-423.